Waniwani Founders: The Startup Behind a 9% Insurance Stock Drop

Waniwani Founders: The Startup Behind a 9% Insurance Stock Drop

4 min read Founder Profiles

Most seed-stage startups spend years trying to prove they matter. Waniwani proved it in one afternoon, and not entirely on purpose.

On February 9, 2026, a ChatGPT-based home insurance quoting app, built on Waniwani's infrastructure, went live. Within a day, shares of Willis Towers Watson fell 13%, its worst single-day decline since 2008.

Aon and Arthur J. Gallagher dropped between 8% and 11%.

Europe's STOXX 600 insurance index slipped too.

That's the kind of event most founders can't manufacture with a marketing budget.

Now Waniwani has raised an $8 million seed round led by Seedcamp, with additional backing from Redstone, Zone II Ventures, Plug & Play, and venture studio Hexa.

Click here to see the startup insuring the buildings behind the entire AI boom


Four Founders, Four Very Specific Skill Sets

Waniwani was founded in early 2026 by Robin Diligent, Raphaël Vullierme, Maxime Antoine, and Luiza Gusmao.

Unlike a lot of AI startups spinning up around a hot trend, none of these four are newcomers to the categories they're now disrupting.

Vullierme previously co-founded Luko, which grew into France's largest online home insurer before Allianz Direct acquired it.

He spent nearly a decade running an insurance company, watching brokers, comparison sites, and direct sales channels compete for the same customer attention.

Diligent, the CEO, previously led Boston Consulting Group's Geneva office and worked as a key member of its generative AI team on large-scale projects for major clients.

Antoine, the CTO, led engineering at Cantina, building security infrastructure for companies including Coinbase, Uniswap, Mastercard, and UBS.

Gusmao spent roughly a decade at Cover Genius, a global embedded insurance platform, before joining Waniwani as an early team member and later as Chief Growth Officer.


What Waniwani Actually Built

The company's core thesis is blunt: distribution for financial services is shifting from websites and brokers to AI platforms, and that shift isn't reversing.

Waniwani built an open-source software development kit that lets any quote-based service vendor, insurance, mortgages, home services, or software, build a sales agent and distribute it directly inside AI platforms like ChatGPT, Claude, and Google's Gemini, as well as through WhatsApp.

The SDK itself is free. Waniwani makes money on the layer that comes after a vendor deploys an agent.

That includes regulatory and compliance monitoring, funnel simulation and performance analytics, pricing optimization, and anti-scraping protection.

Diligent has framed the company's real value less around the flashy demo and more around what happens next. Deploying an AI sales agent is the easy part, in his telling.

The harder, less visible work is driving traffic to it, optimizing conversion, and staying compliant with regional financial regulations while doing so.

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Why the February Event Actually Mattered

It's worth being precise about what happened here, since the headline numbers are dramatic enough to invite exaggeration.

Waniwani's infrastructure powered a real-time home insurance quoting experience inside ChatGPT, built in partnership with a company called Tuio.

That was reportedly the first time regulated insurance quoting worked natively inside a major AI chat platform.

The market reaction was significant but not permanent. Goldman Sachs later called the 9% broker selloff overdone, and affected stocks partially recovered over the following three weeks.

Bank of America, on the other hand, held a more bearish position, estimating in a March note that $15 billion in insurance broker revenue is now at risk from AI-driven distribution changes.

That disagreement between two major banks is itself the honest takeaway. Nobody has fully settled whether this was a one-time overreaction or the first visible sign of a structural shift in how financial products get sold.


Traction Since the Raise

For a company less than a year old, Waniwani's client geography is unusually broad. The company reports active clients across Europe, Latin America, the Middle East, South Korea, Australia, and its core US market.

It has also established a partnership with Deloitte UK to help insurers deploy the infrastructure, and both Aviva and MONY Group, the parent company of MoneySuperMarket, have publicly launched their own ChatGPT applications built on Waniwani's platform.

According to the company, Waniwani is on track to generate several million dollars in revenue in its first year, an aggressive pace for a company that's roughly six months old.


The Real Competitive Risk

Here's the honest caveat worth sitting with. Waniwani's biggest long-term threat may not come from other insurtech startups at all.

Established players like Majesco, Guidewire, and Duck Creek Technologies haven't specifically focused on AI channel distribution the way Waniwani has, so direct insurtech competition looks limited for now.

The bigger risk sits one layer up. If OpenAI, Anthropic, or Google build native monetization tools directly into their own AI platforms for financial services vendors, Waniwani's entire infrastructure layer could become redundant, since it exists specifically to sit between vendors and those platforms.

That's not a hypothetical concern unique to Waniwani. It's the same structural risk facing most "infrastructure for AI platforms" startups right now, and it's the single clearest thing to watch over the next 12 to 18 months.

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